ANG II activates P38 MAP kinase and ERK1/2, but not JNK, in vascular smooth muscle cells from SHR
Bibliographic record
Abstract
Mitogen activated protein kinases (MAPK) comprise three major members, ERK1/2, p38MAPK and JNK, which influence vascular smooth muscle cell (VSMC) function. The aims of the present study were to determine whether Ang II differentially regulates these MAPKs in VSMCs from SHR. Vascular smooth muscle cells from mesenteric arteries of WKY and SHR were studied. Ang II-induced phosphorylation of ERK1/2, JNK and p38MAPK were assessed by Western blot analysis. mRNA expression of c-fos, a potential downstream target of MAPKs, was assessed by RT-PCR in the absence and presence of PD98059, selective inhibitor of ERK1/2-dependent pathways, and SB202190, selective p38MAPK inhibitor. Ang II increased phosphoryation of ERK1/2 and p38MARK, but not JNK. Responses were significantly increased in SHR compared with WKY. PP2, selective Src inhibitor, decreased Ang II-mediated activation of MAPKs. Ang II increased c-fos mRNA expression in SHR and had a small stimulatory effect in WKY. These actions were inhibited by PD98059 but not by SB202190. Our data demonstrate that Ang II activates p38 MAPK and ERK1/2, but no JNK, in VSMCs. These effects are enhanced in SHR and are associated with ERK1/2-dependent, p 38 MAPK-independent overexpression of c-fos mRNA. Differential activation of MAPKs by Ang II may be important in altered growth signaling in VSMCs from SHR.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".